Measuring the technical efficiency of different forestry management model in southern community forest area using three-stage DEA analysis

SHEN Jinyu, HAN Xiao, HOU Yilei, WEN Yali

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2015, Vol. 39 ›› Issue (02) : 104-110.

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南京林业大学学报（自然科学版）
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JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2015, Vol. 39 ›› Issue (02) : 104-110. DOI: 10.3969/j.issn.1000-2006.2015.02.018

Measuring the technical efficiency of different forestry management model in southern community forest area using three-stage DEA analysis

  • SHEN Jinyu1, HAN Xiao2, HOU Yilei1, WEN Yali1*
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Abstract

The efficiency of forestry management is crucial for the development of forestry. This study developed three-stage data envelopment analysis(DEA)model was developed for measuring the technical efficiency, pure technical efficiency and scale technical efficiency of different households forest management models. Data were collected and analyzed from 903 households in Sanming City, Fujian Province. The results illustrated that environmental variables had some impact on the efficiency of three management models. Furthermore, family annual per-capital income had a positive effect on the efficiency of individual household. How ever, the number of household work outside and forestry financial subsidies had negative influence on the efficiency of individual household. In additional, the educational level of household was favor to the efficiency of partnership and joint shareholding management. The technological level of household was proved helpful for improving the efficiency of individual household and joint shareholding management. After adjustment of the environmental variables and statistical noise, average technical efficiency of partnership management was the highest among three management models, which joint shareholding management followed and individual household was the lowest. Our findings also showed that the three managements all had input slacks. Therefore, some suggestions should be taken into consideration to improve the efficiency of three management models and decrease the input slacks.

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SHEN Jinyu, HAN Xiao, HOU Yilei, WEN Yali. Measuring the technical efficiency of different forestry management model in southern community forest area using three-stage DEA analysis[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2015, 39(02): 104-110 https://doi.org/10.3969/j.issn.1000-2006.2015.02.018

References

[1] Driffield N, Munday M. Foreign manufacturing, regional agglomeration and technical efficiency in UK industries: A stochastic production frontier approach [J]. Regional Studies, 2001, 35(5): 391-399.
[2] 田淑英, 许文立.基于DEA模型的中国林业投入产出效率评价[J].资源科学, 2012, 34(10):1944-1950.Tian S Y, Xu W L.Evaluation of China’s forestry input-output efficiency based on DEA modeling [J]. Resources Science, 2012, 34(10):1944-1950.
[3] 张春霞,许佳贤,黄森慰,等. 基于木材供给生产目标下林农经营规模效率研究——以福建省杉木用材林为例[J]. 中南林业科技大学学报: 社会科学版, 2010, 4(2): 5-7.Zhang C X, XU J X, Huang S W, et al. A research into forestry farmers’ management scale efficiency based on the production aim of timber supply—a case study of fir timber in Fujian Province[J]. Journal of Central South University of Forestry & Technology:Social Sciences, 2010, 4(2):5-7.
[4] Managi S. Productivity measures and effects from subsidies and trade: an empirical analysis for Japan’s forestry [J]. Applied Economics, 2010, 42(30): 3871-3883.
[5] Kao C, Yang Y C. Measuring the efficiency of forest management [J]. Forest science, 1991, 37(5):1239-1252.
[6] Carter D R, Cubbage F W. Stochastic frontier estimation and sources of technical efficiency in southern timber harvesting [J].Forest Science, 1995, 41(3): 576-593.
[7] Lee J Y. Application of the three-stage DEA in measuring efficiency-an empirical evidence [J]. Applied Economics Letters, 2008, 15(1): 49-52.
[8] 刘璨.1978—1997年金寨县农户生产力发展与消除贫困问题研究——前沿生产函数分析方法[J]. 中国农村观察, 2004(1): 35-43.Liu C. Analysis of jinzhai county household technical change and efficiency change: stochastic frontier production function approach(1978-1997)[J].China Rural Survey, 2004(1):35-43.
[9] 曾云钦, 张春霞, 许佳贤. 不同经营形式下的私有林经营规模效率研究——以福建为例[J]. 中南林业科技大学学报:社会科学版, 2011, 5(3): 32-35.Zeng Y Q, Zhang C X, Xu J X. A research of the privatized forestry’s management scale efficiency under different managing methods-a case study of Fujian Province [J]. Journal of Central South University of Forestry & Technology:Social Sciences,2011, 5(3):32-35.
[10] Prasada Rao T J D S, O’Donnell C J, Battese G E. An introduction to efficiency and productivity analysis [M]. Berlin:Springer Inc, 2005:162-173.
[11] Fried H O, Lovell C A K, Schmidt S S, et al. Accounting for environmental effects and statistical noise in data envelopment analysis [J]. Journal of Productivity Analysis, 2002, 17(1-2): 157-174.
[12] Manual O. Measuring productivity: measurement of aggregate and industry-level productivity growth [M]. Paris:OECD, 2001.
[13] 章允清. 卫闽林场杉木人工林经验收获表的研制[J]. 福建林业科技, 2006, 33(3): 47-51. Zhang Y Q. Development of experience harvest table of cunninghamia lanceolata plantation in weimin forest farm [J]. Journal ofFujian Forestry Science and Technology, 2006, 33(3):47-51.
[14] Fried H O, Schmidt S S, Yaisawarng S. Incorporating the operating environment into a nonparametric measure of technical efficiency [J]. Journal of Productivity Analysis, 1999, 12(3): 249-267.
[15] 郭军华, 倪明, 李帮义. 基于三阶段 DEA 模型的农业生产效率研究[J]. 数量经济技术经济研究, 2010(12): 27-38.Guo J H, N M, Li B Y. Research on agricultural production efficiency based on three-stage DEA model [J]. The Journal of Quantitative & Technical Economics, 2010(12):27-38.
[16] Conway M C, Amacher G S, Sullivan J, et al. Decisions nonindustrial forest landowners make: an empirical examination [J]. Journal of Forest Economics, 2003, 9(3): 181-203.
[17] Zhang D, Aboagye Owiredu E. Land tenure, market, and the establishment of forest plantations in Ghana [J]. Forest Policy and Economics, 2007, 9(6): 602-610.
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